November 8, 2025Deleted JournalOpen Access

Improvement of Customer Satisfaction and Operational Efficiency by Data-Driven Management — a Case Study of Uber

View Full Paper

Ask AI

Bookmark

Authors

SFShuyue FangZhejiang Gongshang University

Discussion

Member takes

Implication

Case study reveals data-driven management improves customer satisfaction and operational efficiency, indicating a need for transparency in algorithms.

Key Points

Operational efficiency enhances significantly with data-driven management at Uber, leading to improved customer satisfaction.
Analysis shows dynamic pricing and algorithms serve as critical technologies in Uber's operational framework.
Case study method explores the balance between efficiency and transparency in algorithm management driving corporate operations.
Highlighting the necessity for sustainable development, the findings call for better driver rights protection and algorithmic transparency.

Cite This Study

Shuyue Fang (2025) studied this question.

synapsesocial.com/papers/690e8b6ca5b062d7a4e73437 https://doi.org/10.54097/2x63se88

View Full Paper

Ask AI

Bookmark

Implication

Case study reveals data-driven management improves customer satisfaction and operational efficiency, indicating a need for transparency in algorithms.

Improvement of Customer Satisfaction and Operational Efficiency by Data-Driven Management — a Case Study of Uber

Discussion

Member takes

Implication

Key Points

Cite This Study

Improvement of Customer Satisfaction and Operational Efficiency by Data-Driven Management — a Case Study of Uber

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider